Search Results for author: Sotirios Nikoloutsopoulos

Found 3 papers, 0 papers with code

Personalized Federated Learning with Exact Stochastic Gradient Descent

no code implementations20 Feb 2022 Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias

At the final update, each client computes the joint gradient over both client-specific and common weights and returns the gradient of common parameters to the server.

Multi-class Classification Personalized Federated Learning

Information Theoretic Meta Learning with Gaussian Processes

no code implementations7 Sep 2020 Michalis K. Titsias, Francisco J. R. Ruiz, Sotirios Nikoloutsopoulos, Alexandre Galashov

We formulate meta learning using information theoretic concepts; namely, mutual information and the information bottleneck.

Gaussian Processes Meta-Learning

Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules

no code implementations30 Sep 2018 Michalis K. Titsias, Sotirios Nikoloutsopoulos

The resulting method is flexible and it can be easily incorporated to any standard off-policy and on-policy algorithms, such as those based on temporal differences and policy gradients.

reinforcement-learning Reinforcement Learning (RL) +1

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